Artificial Intelligence as a Strategic Innovation Capability
Françoise de Viron and
Benoit Gailly
Chapter 8 in Artificial Intelligence and Innovation Management, 2022, pp 143-160 from World Scientific Publishing Co. Pte. Ltd.
Abstract:
Mobilizing a knowledge-based perspective of the firm, this chapter outlines how artificial intelligence (AI) technologies can be seen as new innovation capabilities allowing firms to learn from existing and new knowledge assets. This approach allows managers and scholars to adopt a strategic perspective regarding the development of their AI assets and capabilities. We identify in particular four types of organizational learning strategies, considering whether to build analytic capabilities (both technical and organizational) on the one hand to best exploit the knowledge embedded in their existing data assets and on the other hand to explore — identify and capture — new sources of knowledge.
Keywords: Artificial Intelligence; Innovation Management; Knowledge-Based Perspective; Decision Making; Entrepreneurial Opportunity; Ai-Driven Innovation; Automation; Research Process Disruption; Value Proposition; Business Scaling; Fair; Inclusive and Anticipatory Leadership; Social Impact of AI; Living Labs; Public Procurement of AI (search for similar items in EconPapers)
JEL-codes: O3 O31 O36 (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://www.worldscientific.com/doi/pdf/10.1142/9781800611337_0008 (application/pdf)
https://www.worldscientific.com/doi/abs/10.1142/9781800611337_0008 (text/html)
Ebook Access is available upon purchase.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:wsi:wschap:9781800611337_0008
Ordering information: This item can be ordered from
Access Statistics for this chapter
More chapters in World Scientific Book Chapters from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().